Associate Director, Clinical Solutions & AI Engineering

revolutionmedicines

United States

Sur place

USD 180 000 - 240 000

Plein temps

Il y a 6 jours
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Résumé du poste

Revolution Medicines is seeking a senior leader to drive in‑house clinical AI solutions, analytics, and data initiatives. You will manage engineers and contractors, set delivery roadmaps, and ensure scalable, compliant deployment of AI/ML capabilities to support clinical trial data review and insights.

The role emphasizes hands‑on architecture, mentorship, and cross‑functional collaboration with IT and clinical functions to advance the portfolio.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or related field.
  • 9+ years in software/data engineering, AI/ML, or related technical roles with leadership.
  • Hands‑on AI/ML experience including retrieval‑augmented generation and model deployment.
  • Strong programming in SAS, R, and Python for clinical data workflows.
  • Ability to translate scientific needs into scalable technical designs.

Responsabilités

  • Lead development and implementation of in‑house clinical applications and AI‑enabled solutions.
  • Mentor engineers and contractors; manage goals, feedback, and career development.
  • Define clinical solution roadmap with stakeholders and manage delivery risks.
  • Oversee dashboard and dataflow development for trial data review and insights.
  • Guide AI architecture, tooling, evaluation, and governance in regulated settings.
  • Collaborate with IT and Clinical Systems to integrate solutions across platforms.

Connaissances

Team leadership
AI/ML engineering
Clinical data analysis

Formation

Bachelor's degree in Computer Science or related field

Outils

SAS
R
Python

Description du poste

Revolution Medicines is seeking a senior leader to drive in‑house clinical AI solutions, analytics, and data initiatives. You will manage engineers and contractors, set delivery roadmaps, and ensure scalable, compliant deployment of AI/ML capabilities to support clinical trial data review and insights.

The role emphasizes hands‑on architecture, mentorship, and cross‑functional collaboration with IT and clinical functions to advance the portfolio.

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